Online Reverse Auction System at Universities Based on Business Intelligence

Procurement activities at Universitas Surabaya in Surabaya utilize an information system to obtain goods or services at the best price, meeting various requirements. However, this system is still inadequate to address issues such as the unorganized flow of procurement documents and the lack of system capability to compare budgets and actuals. This study used the waterfall method to develop a better system by implementing business intelligence. Trials and evaluations were conducted using data from the university’s procurement unit. The results showed that the new system can maintain the order of procurement documents and demonstrate a good comparison between budgets and actuals. Therefore, it was concluded that this application can assist in monitoring the procurement process at the university.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-01-15
DOI
https://doi.org/10.1051/e3sconf/202668702009/pdf
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Online Reverse Auction System at Universities Based on Business Intelligence

Daniel Soesanto, Susana Limanto, Maya Hilda Lestari Louk, Reynard Nathanael et al.
Springer Link (Chiba Institute of Technology)
Big Data and Business Intelligence
article

Online Reverse Auction System at Universities Based on Business Intelligence

Daniel Soesanto, Susana Limanto, Maya Hilda Lestari Louk, Reynard Nathanael, Liliana
article en

Abstract

Procurement activities at Universitas Surabaya in Surabaya utilize an information system to obtain goods or services at the best price, meeting various requirements. However, this system is still inadequate to address issues such as the unorganized flow of procurement documents and the lack of system capability to compare budgets and actuals. This study used the waterfall method to develop a better system by implementing business intelligence. Trials and evaluations were conducted using data from the university’s procurement unit. The results showed that the new system can maintain the order of procurement documents and demonstrate a good comparison between budgets and actuals. Therefore, it was concluded that this application can assist in monitoring the procurement process at the university.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 89%
Big Data and Business Intelligence
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